3 citations · 7 across the 4 of their papers we have counts for
5 papers
VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface
Takato Yasuno, Junichiro Fujii, Riku Ogata +1
In road monitoring, it is an important issue to detect changes in the road surface at an early stage to prevent damage to third parties. The target of the falling object may be a f…
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
Takato Yasuno, Junichiro Fujii, Sakura Fukami
For steel product manufacturing in indoor factories, steel defect detection is important for quality control. For example, a steel sheet is extremely delicate, and must be accurate…
Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Index
Takato Yasuno, Junichiro Fujii, Hiroaki Sugawara +1
In 2020, there was a record heavy snowfall owing to climate change. In reality, 2,000 vehicles were stuck on the highway for three days. Because of the freezing of the road surface…
Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard Indicator
Takato Yasuno, Hiroaki Sugawara, Junichiro Fujii +1
In 2021, Japan recorded more than three times as much snowfall as usual, so road user maybe come across dangerous situation. The poor visibility caused by snow triggers traffic acc…
Generative Damage Learning for Concrete Aging Detection using Auto-flight Images
Takato Yasuno, Akira Ishii, Junichiro Fujii +2
In order to monitor the state of large-scale infrastructures, image acquisition by autonomous flight drones is efficient for stable angle and high-quality images. Supervised learni…